{"id":"W7134686300","doi":"","title":"Malnutrition in patients with cancer : targeting patients at risk","year":2010,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Colonic disease; Risk factor; Malnutrition; Cancer cachexia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006120484,0.000354104,0.0005203173,0.0002520046,0.0003034258,0.00003332886,0.0001616528,0.0003121831,0.004475717],"category_scores_gemma":[0.0002935557,0.0003203525,0.00008059225,0.0004204786,0.0002098918,0.000265077,0.0000981726,0.001266192,0.0004903442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641722,"about_ca_system_score_gemma":0.0001205265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859487,"about_ca_topic_score_gemma":0.002503918,"domain_scores_codex":[0.9969334,0.0002238846,0.0006731136,0.0005232987,0.0006391034,0.001007213],"domain_scores_gemma":[0.9982204,0.000205479,0.000366646,0.0003863939,0.0003705088,0.0004505813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007214689,0.001649442,0.9722906,0.0008329148,0.00003762903,0.00001426734,0.001806282,0.000008224549,0.0001354963,0.0006731094,0.001744602,0.02008599],"study_design_scores_gemma":[0.0127616,0.0004674876,0.8526831,0.002777989,0.0001357346,0.000001978954,0.0004442738,0.000174435,0.000609844,0.0002669205,0.1292783,0.0003983911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983224,0.002148377,0.00001368677,0.001867978,0.003640799,0.001270023,0.0003684725,0.00007204441,0.007394668],"genre_scores_gemma":[0.9936134,0.00178658,0.001589348,0.0009638671,0.001125864,0.0001168593,0.0002721098,0.00008405481,0.000447947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1275337,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154876837383746,"score_gpt":0.2807951316738553,"score_spread":0.2692463633000178,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}